Least variance estimation of motion error for synthetic aperture radar

Author

Lu, Y.H. ; Yeo, T.S. ; Kooi, P.S. ; Zhang, C.B. ; Deng, L.P. ; Tsao, C.

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore

Volume

1

fYear

1994

fDate

14-18 Nov 1994

Firstpage

20

Abstract

The main crux of motion error extraction lies on how to reduce the effects of terrain back scattering on the accuracy of extraction. A new solution which can significantly reduce these effects is presented in this paper. The phase term contained in SAR raw data consists of two parts: the phase caused by the vehicle´s motion and the ground reflectivity function respectively. Since the former depends heavily on SAR geometry, the least variance estimation can be used to obtain, with high accuracy, the vehicle´s motion error according to the pre-determined geometry relationship. Computer simulations show that this method is highly accurate and it decreases significantly the dependence of the accuracy on the terrain mapped

Keywords

error analysis; motion estimation; radar imaging; synthetic aperture radar; SAR geometry; SAR imagery; azimuth mapping resolution; computer simulations; ground reflectivity function; least variance estimation; matched filtering; motion error extraction; synthetic aperture radar; terrain; vehicle motion; Aircraft navigation; Azimuth; Data mining; Estimation error; Geometry; Motion estimation; Radar scattering; Radar signal processing; Synthetic aperture radar; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Singapore ICCS '94. Conference Proceedings.

Print_ISBN

0-7803-2046-8

Type

conf

DOI

10.1109/ICCS.1994.474115

Filename

474115